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Algorithm sensitivity analysis and parameter tuning for tissue image segmentation pipelines
2017
Bioinformatics
Motivation: Sensitivity analysis and parameter tuning are important processes in large-scale image analysis. They are very costly because the image analysis workflows are required to be executed several times to systematically correlate output variations with parameter changes or to tune parameters. An integrated solution with minimum user interaction that uses effective methodologies and high performance computing is required to scale these studies to large imaging datasets and expensive
doi:10.1093/bioinformatics/btw749
pmid:28062445
pmcid:PMC5409344
fatcat:3ack23wpmbgydl6zaay3bcn7va